S_R

VisualC++数字图像处理技术详解第2版-光盘 第九章(VisualC++ digital image processing technology Detailed Version 2- CD Chapter IX)

数字图像处理(冈萨雷斯)书中的边界链码实现,该程序通过取网格,简化了编码的数据量(Digital image processing (Gonzalez) the boundary chain code book, realize that the procedures through access grid, simplifying the coding of data)

hough变换的图像倾斜校正的matlab源码，图像预处理的重要环节之一。(hough transform image tilt correction matlab source, an important part of image pre-processing one.)

水深遥感测量，自己收集的pdf论文资料。(Depth of remote sensing, their paper data collection.)

基于颜色衰减先验模型的单幅图像快速去雾算法。(A Fast Single Image Haze Removal Algorithm using Color Attenuation Prior)

说明：  powell刚性图像配准，c++代码，通过查找非相关方向进行配准.(Polwell rigid image registration, c++ code, by looking for non-related directions for registration.)

说明：  高光谱遥感图像光谱解混的独立成分分析技术(Independent component analysis technique for spectral unmixing of hyperspectral remote sensing images)

说明：  Hu的七个不变矩在图像匹配检索中适用广泛。本代码仅计算图像间Hu的七个矩的D2大小，直观的了解Hu矩的应用(seven moment invariants in image retrieval in the application of broad match. Only the calculation of the code between the image of the seven Hu moments D2 size, intuitive understanding of the application of Hu Moment)

本文主要介绍遗传算法的基本理论，叙述遗传算法在图像增强的的主要应用，即将原始图像变得更加清晰，特征变得更加明显。 现今关于图像增强的算法有很多，而这些算法大多是基于退化函数或者点扩展函数的知识进行图像处理的。当图像出现模糊或噪声影响大时，设计出的图像清晰化的效果肯定不够理想，因此有必要对图像进行增强处理。于是，可利用到遗传算法这种成熟稳定的仿生物进化的全局寻优算法，进行图像增强，由于遗传算法控制参数少、自适应度高，将选择该方法对图像退化分别进行不同的清晰化处理. 这样既增强了图像的对比度,又克服了传统直方图均衡化处理所造成的灰度级损失等缺点。 通过实验去表明，遗传算法从全局寻优的角度出发，能够较为精确地估计退化系统函数。和传统的线性增强、直方图均衡进行比较。实验结果表明该方法能改善原图像视觉效果，便于之后的图像分析。 (This paper mainly introduces the basic theory of genetic algorithm, genetic algorithm (ga) in the main application of image enhancement, the original image is more clear, characteristic becomes more obvious. Today about the image enhancement algorithm are many, and most of these algorithms is based on the degradation function or the knowledge of the point spread function of image processing. When the image appears fuzzy or noise influence, designed the image clarity of effect must not ideal, therefore it is necessary to enhance the image. Then, genetic algorithm is available to the mature and stable evolution of the global optimization algorithm, for image enhancement, due to less genetic algorithm control parameters, since the high fitness, will choose the method of image degradation, respectively, to manipulate the different motivation. It can enhance the image contrast, and overcome the traditional histogram equalization processing grayscale loss caused by the faults. Throug)

说明：  对于双基地SAR，基于IDL语言使用BP算法进行成像，以及显示回波信号。(For Bistatic SAR, BP algorithm is used to image and display echo signal based on IDL language.)